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2008 Canadian Conference on Computer and Robot Vision
Generating Semantic Information from 3D Scans of Crime Scenes
May 28-May 30
ISBN: 978-0-7695-3153-3
Recent advancements in laser and visible light sensor technology allows for the collection of photorealistic 3D scans of large scale spaces. This enables the technology to be used in real world applications such as crime scene investigation. The 3D models of the environment obtained with a 3D scanner capture visible surfaces but do not provide semantic information about salient features within the captured scene. Later processing must convert these raw scans into salient scene structure. This paper describes ongoing research into the generation of semantic data from the 3D scan of a crime scene to aid forensic specialists in crime scene investigation and analysis.
Index Terms:
3d segmentation, 3d sensing, robotics, crime scene investigation
Citation:
Anna Topol, Michael Jenkin, Jarek Gryz, Stephanie Wilson, Marcin Kwietniewski, Piotr Jasiobedzki, Ho-Kong Ng, Michel Bondy, "Generating Semantic Information from 3D Scans of Crime Scenes," crv, pp.333-340, 2008 Canadian Conference on Computer and Robot Vision, 2008
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